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Secure Women’s Safety Platform Using Ethereum Blockchain

Publication Type : Journal Article

Source : Developing AI, IoT and Cloud Computing-based Tools and Applications for Women’s Safety

Url : https://www.taylorfrancis.com/chapters/edit/10.1201/9781003538172-4/secure-women-safety-platform-using-ethereum-blockchain-shinu-rajagopal-supriya-rajkumar-buyya

Campus : Bengaluru

School : School of Computing

Abstract : The Secure Women Safety Platform envisions a decentralised application on the Ethereum blockchain, merging AI, IoT, and blockchain technologies to tackle societal safety challenges. Through Ethereum’s blockchain, it ensures tamper-proof identity management, empowering users with control over their data. IoT wearables equipped with GPS and sensors enable real-time tracking and swift response to emergencies, while AI-driven anomaly detection analyses user behaviour patterns for proactive threat identification. An emergency alert system triggers timely notifications to contacts and authorities, enhancing user safety. User-centric data management safeguards privacy, with Ethereum’s blockchain facilitating secure access permissions. Crowdsourced safety ratings and incident reporting foster a collaborative ecosystem, with blockchain’s immutability ensuring data integrity. This holistic solution advances women’s safety, setting a precedent for future innovations in personal security by combining AI, IoT, and cloud computing within a decentralised framework.

Cite this Research Publication : Rajagopal, Shinu M., M. Supriya, and Rajkumar Buyya. "Secure Women's Safety Platform Using Ethereum Blockchain." In Developing AI, IoT and Cloud Computing-based Tools and Applications for Women’s Safety, pp. 41-54. Chapman and Hall/CRC, 2024.

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